Data Engineer (F/M/D)

Berlin, Germany

Applications have closed

EcoVadis

Confidently manage value chain risk & compliance, build performance for net-zero & sustainability targets, drive value & impact: The universal sustainability ratings & intelligence suite.

View company page

Company Description

Work smart, have fun and make an impact!

Our purpose is to guide all companies toward a sustainable world.

EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.

Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution.

Learn more about our team and culture on EcoVadis careers page. If you have questions about the company or open roles you can chat with an insider.

Job Description

We are looking for a Data Engineer to contribute to the evolution of our IQ Plus product. IQ Plus leverages intelligence from the world’s largest sustainability performance database, customer procurement data and screening of supplier-specific documents using the latest data mining and AI technologies.

In this new role, reporting to the Engineering Manager, you will work alongside a team of Data Scientists and Machine Learning Engineers. Your will:

  • Build and maintain a distributed data pipeline architecture that can process large volumes of data from multiple sources with high availability and low latency. (MongoDB, Postgres, Prometheus related data extraction processes)
  • Implement data quality checks to ensure data consistency, completeness, and accuracy. (Cleaning data from MongoDB, Postrgres, Google Storage etc)
  • Design and maintain data models and schema structures to support analytics and reporting needs. (Any changes to Mongo, Logging etc)
  • Collaborate with data scientists to develop data pipelines for machine learning models and data science operations.
  • Design and implement data processing workflows for log data to enable effective analysis and visualization.
  • Build and maintain data visualization and monitoring tools to track system performance and detect anomalies.

Qualifications

  • Experience in data modeling, pipelines, data warehousing, and transformation of large-scale data sources
  • Experience building ETL processes, data pipelines and orchestrators (e.g. Airflow, DVC)
  • Extensive experience in No-SQL databases (MongoDB) and SQL (PostgreSQL)
  • Systems-level understanding of Machine Learning concepts and technologies
  • Optimize data storage and retrieval processes using cloud-based solutions such as Azure and Databricks
  • Develop and implement data analytics workflows using Python, SQL, or other programming languages

Additional Information

Location: Berlin / Remote in Germany
Start date: ASAP

Everyone at EcoVadis contributes to a culture of trust, respect and empowerment. Our growing team in Germany is full of talented professionals from various sectors who all share a desire to make an impact.

We offer competitive salaries and support personal growth from day one with extensive onboarding, mentoring and a brand new e-learning platform bursting with courses and modules so you can learn new skills and fine-tune old ones.

Benefits:
• Support with all the necessary office and IT equipment
• Wellness allowance for mental and physical wellbeing
• Annual performance bonus
• Remote work from abroad policy
• Flexible working hours
• Hybrid/ full remote work
• Health coverage and optional pension scheme
• Internet and electricity bill allowance
• CSR activities
• Subsidized travel and BahnCard 50
• Community service day when volunteering.

Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you!

Don’t fit all the criteria but still think you’d be a good candidate? Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. We’re interested in hiring capable people, regardless of professional and educational background.

Can the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know.

Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major).

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Architecture Azure Data Analytics Databricks Data Mining Data pipelines Data quality Data visualization Data Warehousing Engineering ETL Machine Learning ML models MongoDB Pipelines PostgreSQL Python SQL

Perks/benefits: Career development Flex hours Health care Medical leave Parental leave Salary bonus Startup environment Team events Wellness

Region: Europe
Country: Germany
Job stats:  26  2  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.